We performed a comparison between JenniferSoft and New Relic based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."The dashboard is a valuable feature."
"The synthetics, alerts, and native inbuilt capabilities for monitoring the cloud with the New Relic agents have been helpful."
"The most valuable feature is the New Relic APM module to deep-dive into the application, to get bottlenecks to the surface, and to improve application performance. Also, the New Relic Insights module creates a real-time dashboard on application performance to create awareness for the DevOps team."
"It has helped us maintain a much higher uptime than we had previously."
"It is stable and scalable."
"To me, the most valuable feature of New Relic APM is the traceability, mainly based on the time travel method, so you get the overall response time, which is pretty helpful for developers and ADR techs looking into issues on a deeper level. New Relic APM is a very good, tailor-made solution."
"There are many valuable features in New Relic APM. We developed some software applications and we are able to monitor the errors very easily. Their log security retention is very good."
"The pricing is pretty good."
"The most valuable feature is application monitoring."
"The solution is pricy and has room for improvement."
"The solution must provide better support for Azure Web Apps service."
"It is very difficult to award the service level cycles at an endpoint level."
"It gives you amazing statistics, but doesn’t give you enough information about what to do with the statistics."
"The APIs could be better. I would also like more APIs and features to integrate with streaming solutions, like Kinesis or Kafka."
"Some of our customers see New Relic as a promising product to have, and we would like to deliver it to them. The only way we would be able to do that would be if we had server appliance for clients that we could install in their data centres."
"There has been some problem with the agent, and it is just not working well. It is not able to record information with the application server. They have been able to fix the issue, but it took quite a long time. This is the main issue in the APM products and also in New Relic. The mobile application monitoring has been pretty difficult to set up and also quite expensive. It should be a little bit easier and cheaper. Because it is pretty difficult and expensive, many customers don't take it."
"We have had issues with our agents going offline."
"Documentation could be improved in New Relic APM, so users would have more clarity on configuring the dashboard. If New Relic gave better guidelines, users would find it easier to understand the metrics and features of New Relic APM. Another area for improvement is integration with Kubernetes. Currently, the process isn't user-friendly. It's challenging and lacks documentation for users to understand how to integrate New Relic APM with Kubernetes quickly. With multiple levels of Kubernetes dockers and other DBs on different clouds, it's tricky to gather all into New Relic APM on a single dashboard. What I'd like to see in the next version of New Relic APM is a single dashboard where you can easily view which applications fall under specific APMs. If there's a search feature where you can type in a keyword to find out if an APM is related to a particular application, that would be great."
JenniferSoft is ranked 52nd in Application Performance Monitoring (APM) and Observability with 1 review while New Relic is ranked 3rd in Application Performance Monitoring (APM) and Observability with 152 reviews. JenniferSoft is rated 8.0, while New Relic is rated 8.6. The top reviewer of JenniferSoft writes "Easy to deploy, stable, and scalable". On the other hand, the top reviewer of New Relic writes "Has a simple user interface and end-to-end monitoring and self-healing features". JenniferSoft is most compared with Grafana, whereas New Relic is most compared with Dynatrace, Datadog, Elastic Observability, Grafana and Prometheus.
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